diff --git a/src/content/docs/vectorize/best-practices/create-indexes.mdx b/src/content/docs/vectorize/best-practices/create-indexes.mdx
index cbaa0d8aa52cf25..fd1f32e734b81a7 100644
--- a/src/content/docs/vectorize/best-practices/create-indexes.mdx
+++ b/src/content/docs/vectorize/best-practices/create-indexes.mdx
@@ -36,7 +36,7 @@ npx wrangler vectorize create your-index-name --dimensions=NUM_DIMENSIONS --metr
 To create an index that can accept vector embeddings from Worker's AI's [`@cf/baai/bge-base-en-v1.5`](/workers-ai/models/#text-embeddings) embedding model, which outputs vectors with 768 dimensions, use the following command:
 
 ```sh
-npx wrangler vectorize create your-index-name --dimensions=768 --metric=cosine
+npx wrangler vectorize create your-docs --dimensions=768 --metric=cosine
 ```
 
 ### HTTP API